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Table 2 Comparative representation of short and long T2 values and fat content as derived from the short T2 contribution (ILT method) or biexponential contribution (Mexp method)

From: Inverse Laplace transform and multiexponential fitting analysis of T2 relaxometry data: a phantom study with aqueous and fat containing samples

SamplesPhantom positionMean T2 (inverse Laplace transform)Mean T2 (multiexponential method)
Short T2 (ms) ± SDLong T2 (ms) ± SDShort T2 contributionShort T2 (ms) ± SDLong T2 (ms) ± SDBiexponential contribution
Acetone12,196 ± 1,0660.0%2,231 ± 2062%
Double distilled water21,884 ± 9870.0%1,716 ± 2403%
Milk cream 35%356 ± 25177 ± 7717.2%41 ± 16240 ± 55100%
Milk cream 20%468 ± 53315 ± 1955.2%44 ± 24304 ± 6695%
Milk cream 15%551 ± 13215 ± 943.6%46 ± 26411 ± 4890%
Milk cream 12%656 ± 18238 ± 1173.3%57 ± 35349 ± 6485%
One white, three yolks782 ± 30261 ± 9544%46 ± 10177 ± 2390%
Three whites, one yolk8287 ± 7247 ± 33317 ± 5060%
One white, three yolks969 ± 25 65 ± 29%
One yolk1031 ± 7216 ± 5030%30 ± 2236 ± 20100%
Corn oil1156 ± 18215 ± 11520%40 ± 12193 ± 33100%
One white380 ± 20050 ± 33395 ± 6240%
  1. Short T2 contribution is the ratio of (area of short T2 distribution)/(area of short T2 distribution + area of long T2 distribution) and biexponential T2 contribution is the ratio of number of voxels classified as biexponential/number of monoexponential voxels + number of biexponential voxels